Drinking water temperature around the globe: Understanding, policies, challenges and opportunities

Water temperature is often monitored at water sources and treatment works; however, there is limited monitoring of the water temperature in the drinking water distribution system (DWDS), despite a known impact on physical, chemical and microbial reactions which impact water quality. A key parameter influencing drinking water temperature is...

A data driven method for OD matrix estimation

The fundamental challenge of the origin-destination (OD) matrix estimation problem is that it is severely under-determined. In this paper we propose a new data driven OD estimation method for cases where a supply pattern in the form of speeds and flows is available. We show that with these input data, we do not require an iterative dynamic...

Advanced Traffic Data for Dynamic Origin-Destination Demand Estimation: State of the Art and Benchmark Study

In this paper, the use of advanced traffic data is discussed to contribute to the ongoing debate about their applications in dynamic origin-destination (OD) estimation. This is done by discussing the advantages and disadvantages of traffic data with support of the findings of a benchmark study. The benchmark framework is designed to assess the...

Dynamic OD demand estimation and prediction for dynamic traffic management

Dynamic origin-destination (OD) demand is important input to many simulation models applied within dynamic traffic management systems (DTMS) for predicting traffic states on the network. The inability to provide high-quality dynamic OD demand estimates makes prediction with simulation models simply impossible, irrespective of how well these...

A framework for the benchmarking of OD estimation and prediction algorithms

In this research we describe the development of a common evaluation and benchmarking platform that has been developed within the framework of the European Union COST Action MULTITUDE. The main goal of this platform is to provide a testbed in which a number of algorithms can be implemented and tested under the same conditions. The objective is...

Methodology for efficient real time OD demand estimation on large scale networks

In previous work, we have explored the idea of dimensionality reduction and approximation of OD demand based on principal component analysis (PCA). In particular, we have shown how we can apply PCA to linearly transform the high dimensional OD matrices into the lower dimensional space without significant loss of accuracy. Next, we have defined a...

Efficient real time OD matrix estimation based on principal component analysis

In this paper we explore the idea of dimensionality reduction and approximation of OD demand based on principal component analysis (PCA). First, we show how we can apply PCA to linearly transform the high dimensional OD matrices into the lower dimensional space without significant loss of accuracy. Next, we define a new transformed set of...